AgeAnno: a knowledgebase of single-cell annotation of aging in human is a dataset published in Nucleic Acids Research (2022). On theSindex it has a DataRank of 1.5, placing it in the top 13.5% of the data-sharing corpus. It has been cited 41 times, with 40 citing works in its 1-hop citation network. Its calibrated FAIR score is 42/100.
Ranks in the top 14% for downstream scientific impact
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
The headline score is computed from the scored criteria — the fact-shaped checks (a repository, an accession, a licence) that two independent models agree on. The advisory criteria below are real FAIR guidance but rest on judgment calls that models read differently, so they inform without moving the number.
“AgeAnno is freely available at https://relab.xidian.edu.cn/AgeAnno/#/”
The paper provides a web URL for the dataset, which is not a persistent identifier scheme (DOI, Handle, ARK, or repository accession).
RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit · RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier' · FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'
“AgeAnno is freely available at https://relab.xidian.edu.cn/AgeAnno/#/”
The data are held on the AgeAnno project website, which is a non-repository host (not a curated archive listed in re3data/FAIRsharing).
RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed ( · NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived · NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten
“AgeAnno is freely available at https://relab.xidian.edu.cn/AgeAnno/#/”
The dataset identifier (URL) appears only in the body text of the Data Availability section, not as a reference-list entry.
FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first- · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes · FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'
Advisory · not in the published score
“All data and results can be downloaded on the AgeAnno website.”
The statement points to a website (the AgeAnno homepage) rather than a repository record with an accession or DOI.
Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li · Springer Nature research data policy — Data Availability Statements: standard statement templat · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes
“The current version of AgeAnno houses 1 678 610 cells from 28 healthy tissue samples with ages ranging from 0 to 110 years.”
The dataset's extent is stated in running prose rather than in an itemised inventory (table, section, or enumerated list of files/variables).
RDA-F2-01M — 'Rich metadata is provided to allow discovery' (priority Essential) · FsF-F2-01M — F-UJI: 'Metadata includes descriptive core elements to support data findability' · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'
“All data in AgeAnno is available to the users in the 'Download' section.”
The text gives a route to the data with no stated precondition; the data are freely downloadable.
RDA-A1.1-01D — 'Data is accessible through a free access protocol' · FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'
Advisory · not in the published score
“AgeAnno is freely available at https://relab.xidian.edu.cn/AgeAnno/#/”
The paper explicitly labels the data as 'freely available', which is a natural-language equivalent of 'open access'. [majority verdict 'yes' (3/5 passes agreed)]
FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · RDA-A1-01M — metadata contains information to enable the user to get access to the data · COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl
The data are not described as sensitive or human-subject, and no gatekeeper of any kind is named.
NIH Genomic Data Sharing Policy (NOT-OD-14-124) — controlled-access via a Data Access Committee · RDA-A1.2-01D — 'Data is accessible through an access protocol that supports authentication and · NIH DMS Policy Element 5 (NOT-OD-21-014) — Access, Distribution, or Reuse Considerations (conse
The paper does not state any retention period, archival commitment, or timing of availability beyond the present.
NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines · NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy' · RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'
The paper does not name any file format for the released data.
FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co · RDA-R1.3-02D — data is expressed in a machine-understandable community standard · RDA-I1-01D — data uses a knowledge representation expressed in a standardised format
Advisory · not in the published score
No community data or metadata standard (e.g., MIAME, BIDS, GO as a vocabulary) is named as applied to the data itself; only method references and external databases are cited. [majority verdict 'no' (4/5 passes agreed)]
RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential) · RDA-R1.3-01D — 'Data complies with a community standard' · RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'
No identifier (accession, DOI, RRID, build ID, or application number) for an external resource is given in the text; only bare names or URLs appear.
RDA-I3-01M — '(meta)data include references to other (meta)data' · RDA-I3-03M — 'metadata includes qualified references to other metadata' · FsF-I3-01M — F-UJI: 'Metadata includes links between the data and its related entities'
The Creative Commons licence mentioned in the footer applies to the article, not to the data; no licence is stated for the data.
RDA-R1.1-01M — 'Metadata includes information about the licence under which the data can be reu · RDA-R1.1-02M — 'Metadata refers to a standard reuse licence' · RDA-R1.1-03M — 'Metadata refers to a machine-understandable reuse licence'
No version token or date is given for the snapshot of the data; the phrase 'current version' is not a specific version identifier.
DataCite Metadata Schema 4.6 — the 'Version' property · RDA-R1.2-01M — provenance information (which version was used is provenance) · NSTC Desirable Characteristics of Data Repositories (2022) — 'Provenance', 'Retention Policy'
The paper does not provide a resolvable locator (URL, DOI, or package identifier) for the study's own code; the GitHub link is for data download.
NIH DMS Policy Element 2 (NOT-OD-21-014) — 'Related Tools, Software and/or Code' · FAIR4RS Principles v1.0 (Chue Hong et al., 2022; RDA/FORCE11/ReSA) — FAIR Principles for Resear · FORCE11 Software Citation Principles (Smith, Katz & Niemeyer, 2016, PeerJ CS 2:e86)
“NIHR01GM123037, U01AR069395-01A1, R01CA241930, and NSF 2217515”
Award numbers are given for named funders (NIH, NSF) in the Funding section.
DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award · Crossref Funder Registry — canonical funder identifiers for funding metadata · RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco
Advisory · not in the published score
“quality control and preprocessing steps were performed using Seurat (v2.0), and batch effect removal was performed using Harmony”
The text names specific software tools with version tokens (Seurat v2.0, Harmony, ArchR, MACS2, etc.) used to produce the data. [majority verdict 'yes' (3/5 passes agreed)]
RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa · FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati · W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance
The paper neither names a documentation object shipped with the data nor provides a table defining variables or fields. [majority verdict 'no' (3/5 passes agreed)]
RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data' · NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.561
From this paper's citation signal
Citation Network Contribution
0.975
From 32 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 40 citers.
Center of Excellence-International Collaboration Initiative
Grant: 139170052
NIH
Grant: R35GM138184
NIAMS NIH HHS
Grant: R01 AR072613
NIH
Grant: R01GM123037
NIAMS NIH HHS
Grant: U01 AR069395
NCI NIH HHS
Grant: R01 CA241930
NIH
Grant: U01AR069395-01A1
1·3·5 projects for disciplines of excellence–Clinical Research Incubation
Grant: 2019HXFH022
NIH
Grant: NSF 2217515
National Institutes of Health
Grant: 5R01CA241930-03
Multiscale Resolution and Deep Network Approaches for Deconvolving Different Cell Types in Bulk Tumor using Single-cell Sequencing Data (scDEC)
National Institutes of Health
Grant: 1U01AR069395-01A1
Systems Modeling Guided Bone regeneration
National Science Foundation
Grant: 2217515
Developing Random Field based novel approaches for spatial transcriptomics
National Institutes of Health
Grant: 1R01GM123037-01
Integrative approach to studying LncRNA functions
National Institutes of Health
Grant: 5R35GM138184-05
Functional annotation of new genes aided by deep learning
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals